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how can i use datastream to send something from my...
# ask-ai
b
how can i use datastream to send something from my agent to the frontend
t
Thanks for reaching out, Anas. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
To send data from your agent to the frontend using DataStream, you can use the 
STTSegmentsForwarder
class, which provides an interface for delivering transcriptions in real-time. Here's a basic implementation:
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async def _forward_transcription(
    stt_stream: stt.SpeechStream,
    stt_forwarder: transcription.STTSegmentsForwarder,
):
    """Forward the transcription and log the transcript in the console"""
    async for ev in stt_stream:
        stt_forwarder.update(ev)
        if ev.type == stt.SpeechEventType.INTERIM_TRANSCRIPT:
            print(ev.alternatives[0].text, end="")
        elif ev.type == stt.SpeechEventType.FINAL_TRANSCRIPT:
            print("\n")
            print(" -> ", ev.alternatives[0].text)
This function takes a speech stream and a forwarder, then updates the forwarder with each speech event, which will send the data to the frontend. The data is sent in chunks, with each chunk assigned an index and sent sequentially with appropriate headers. Sources: Transcriptions | LiveKit Docs
b
transcription not defined
t
The issue with 
transcription
not being defined may be due to a missing import. The 
STTSegmentsForwarder
class is part of the 
transcription
module in the LiveKit Agents package. You can import it using the following:
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from livekit.agents import transcription
Additionally, ensure you also import the 
stt
module if needed:
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from livekit.agents import stt, transcription
Once imported, you should be able to use the 
STTSegmentsForwarder
class to forward speech-to-text transcriptions to your frontend in real-time. Sources: Transcriptions | LiveKit Docs
b
what will this print ?
t
The provided function will print the transcriptions received from the speech stream in real-time. Here's what happens: • For interim transcriptions (in-progress speech recognition), it will print the text continuously on the same line. • For final transcriptions (completed speech recognition), it will print the text on a new line prefixed with 
->
. For example, if the speech stream contains the phrase "Hello world," it might print:
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Hello
 -> Hello world
This output depends on the events received from the speech stream.
b
can i somehow detect the language ? from it
t
Yes, you can detect the language from the speech stream in LiveKit by enabling language detection in the Groq STT (Speech-to-Text) service. Here's how you can set it up:
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groq_stt = stt.STT.with_groq(
    model="whisper-large-v3-turbo",
    detect_language=True
)
When 
detect_language
is set to 
True
, the system will automatically detect the language from the audio stream. Ensure that the model you are using supports language detection by checking the Groq documentation. You can also update the language detection options during runtime using the 
update_options
method:
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def update_options(
    self,
    *,
    languages: LanguageCode | None = None,
    detect_language: bool | None = None,
    # other parameters...
)
This allows you to dynamically enable or adjust language detection as needed. Sources: Groq integration guide | LiveKit Docs | livekit.plugins.openai API documentation | livekit.plugins.google API documentation
b
i need to know which language is detected by the TTS
STT*
t
Currently, the provided information does not specify a direct method to retrieve the detected language from TTS (Text-to-Speech) in LiveKit. However, language detection is supported in the STT (Speech-to-Text) service, and the detected language can be inferred from the transcription process if language detection is enabled. If you are specifically looking for TTS language detection, I recommend ensuring that the language is explicitly set or inferred during the STT process before passing it to TTS. If you need further assistance, please let me know!
I'm sorry, but I don't have the information you need at the moment. If you would like a member of the LiveKit team to respond, please ask your question in one of the other channels.
b
how will this forward it to the front end and how can i accept it on the react frontend
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